Transpilation-Aware Runtime Prediction for Noisy Quantum Circuit Simulation
Results indicate that post-transpilation information is useful, while the value of explicit graph modeling depends on the backend and optimization level, and under backend-specific evaluation, the advantage of GNN decreases, with conventional regression models matching or outperforming the GNNs in several settings.